Samantha E. John

846 total citations
36 papers, 517 citations indexed

About

Samantha E. John is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Samantha E. John has authored 36 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Psychiatry and Mental health, 11 papers in Cognitive Neuroscience and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Samantha E. John's work include Dementia and Cognitive Impairment Research (18 papers), Functional Brain Connectivity Studies (8 papers) and Alzheimer's disease research and treatments (4 papers). Samantha E. John is often cited by papers focused on Dementia and Cognitive Impairment Research (18 papers), Functional Brain Connectivity Studies (8 papers) and Alzheimer's disease research and treatments (4 papers). Samantha E. John collaborates with scholars based in United States. Samantha E. John's co-authors include Brandon E. Gavett, Molly Maxfield, Tom Pyszczynski, Ashita S. Gurnani, Ashley Acheson, R. Michael Furr, Donald M. Dougherty, Nathalie Hill‐Kapturczak, Nora E. Charles and Chuan Yue and has published in prestigious journals such as PLoS ONE, Experimental Brain Research and Neurobiology of Aging.

In The Last Decade

Samantha E. John

33 papers receiving 505 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samantha E. John United States 13 171 80 75 75 67 36 517
Catherine Macleod United Kingdom 16 158 0.9× 42 0.5× 94 1.3× 32 0.4× 49 0.7× 59 1.4k
John Lam Hong Kong 9 142 0.8× 110 1.4× 56 0.7× 64 0.9× 88 1.3× 12 637
Yin Liu United States 16 120 0.7× 71 0.9× 94 1.3× 124 1.7× 12 0.2× 59 980
Seok Woo Moon South Korea 16 276 1.6× 32 0.4× 93 1.2× 111 1.5× 12 0.2× 57 718
Harry McConnell Australia 15 128 0.7× 44 0.6× 138 1.8× 47 0.6× 24 0.4× 26 693
Eun Jin Na South Korea 11 109 0.6× 56 0.7× 57 0.8× 28 0.4× 15 0.2× 21 498
Kanika Mehta Australia 8 72 0.4× 42 0.5× 61 0.8× 79 1.1× 16 0.2× 26 680
Francisco Assis Carvalho Vale Brazil 18 419 2.5× 23 0.3× 65 0.9× 151 2.0× 24 0.4× 56 813
Hye Won Suk South Korea 13 80 0.5× 109 1.4× 64 0.9× 40 0.5× 12 0.2× 34 508
Jacob J. Crouse Australia 16 294 1.7× 116 1.4× 147 2.0× 60 0.8× 29 0.4× 80 1.0k

Countries citing papers authored by Samantha E. John

Since Specialization
Citations

This map shows the geographic impact of Samantha E. John's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samantha E. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samantha E. John more than expected).

Fields of papers citing papers by Samantha E. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samantha E. John. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samantha E. John. The network helps show where Samantha E. John may publish in the future.

Co-authorship network of co-authors of Samantha E. John

This figure shows the co-authorship network connecting the top 25 collaborators of Samantha E. John. A scholar is included among the top collaborators of Samantha E. John based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samantha E. John. Samantha E. John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cacho, Jorge Ramón Fonseca, et al.. (2025). Classification of AD and bvFTD using neuropsychological and neuropsychiatric variables: a machine learning study. Alzheimer s & Dementia. 21(10). e70782–e70782.
2.
Medina, Luis D., Steven Paul Woods, Russell Mullen, et al.. (2025). Recuerdos de Mi Abuelo ”: Producing Telenovelas to Engage Latinos About Alzheimer’s Disease. Health Communication. 41(4). 689–694.
3.
Briley, Daniel A., et al.. (2025). Neuropsychiatric symptoms predict rate of change in executive function in Alzheimer’s disease and related dementias. Journal of the International Neuropsychological Society. 31(1). 22–31. 1 indexed citations
4.
John, Samantha E., et al.. (2024). Clinical importance in Alzheimer’s disease: effects of anchor agreement and disease severity. Aging Clinical and Experimental Research. 36(1). 5–5. 4 indexed citations
5.
Nguyen, Amy, et al.. (2023). Network analysis of neuropsychiatric symptoms in Alzheimer’s disease. Alzheimer s Research & Therapy. 15(1). 135–135. 10 indexed citations
6.
Medina, Luis D., Steven Paul Woods, Samantha E. John, et al.. (2023). A boot camp translation of Alzheimer's disease in Hispanic/Latino communities. Alzheimer s & Dementia Translational Research & Clinical Interventions. 9(2). e12390–e12390. 2 indexed citations
7.
8.
Sreenivasan, Karthik, Jeffrey L. Cummings, Samantha E. John, et al.. (2023). Cortical thickness is related to cognitive-motor automaticity and attention allocation in individuals with Alzheimer’s disease: a regions of interest study. Experimental Brain Research. 241(6). 1489–1499. 3 indexed citations
9.
Miller, Justin, Christina G. Wong, Jessica Caldwell, et al.. (2023). Cognitive aging in rural communities: preliminary memory characterization of a community cohort from Southern Nevada. PubMed. 2. 1236039–1236039. 3 indexed citations
10.
Cummings, Jeffrey L., et al.. (2022). A Novel Way of Measuring Dual-Task Interference: The Reliability and Construct Validity of the Dual-Task Effect Battery in Neurodegenerative Disease. Neurorehabilitation and neural repair. 36(6). 346–359. 17 indexed citations
11.
John, Samantha E., Brach Poston, Virendra Mishra, et al.. (2022). Dual Task Performance Is Associated with Amyloidosis in Cognitively Healthy Adults. The Journal of Prevention of Alzheimer s Disease. 9(2). 297–305. 4 indexed citations
12.
Ahmed, Anthony O., et al.. (2022). Latent structure of cognitive tests is invariant in men and women with schizophrenia. Schizophrenia Research. 250. 127–133.
13.
Hone‐Blanchet, Antoine, Lisa C. Krishnamurthy, Syed Salman Shahid, et al.. (2021). Relationships between frontal metabolites and Alzheimer's disease biomarkers in cognitively normal older adults. Neurobiology of Aging. 109. 22–30. 7 indexed citations
14.
Hanfelt, John, Samantha E. John, Sharon Bergquist, et al.. (2019). Rationale and Design of the Emory Healthy Aging and Emory Healthy Brain Studies. Neuroepidemiology. 53(3-4). 187–200. 31 indexed citations
15.
Gavett, Brandon E., et al.. (2017). Phishing suspiciousness in older and younger adults: The role of executive functioning. PLoS ONE. 12(2). e0171620–e0171620. 53 indexed citations
17.
Gurnani, Ashita S., Samantha E. John, & Brandon E. Gavett. (2015). Regression-Based Norms for a Bi-factor Model for Scoring the Brief Test of Adult Cognition by Telephone (BTACT). Archives of Clinical Neuropsychology. 30(3). 280–291. 10 indexed citations
19.
Gavett, Brandon E., et al.. (2014). The δ latent dementia phenotype in the uniform data set: Cross-validation and extension.. Neuropsychology. 29(3). 344–352. 39 indexed citations
20.
Dougherty, Donald M., Nora E. Charles, Ashley Acheson, et al.. (2012). Comparing the detection of transdermal and breath alcohol concentrations during periods of alcohol consumption ranging from moderate drinking to binge drinking.. Experimental and Clinical Psychopharmacology. 20(5). 373–381. 85 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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